import csv
from datetime import datetime

from matplotlib import pyplot as plt

file_name = 'chapter_16_death_valley_2014.csv'
with open(file_name) as f:
    reader = csv.reader(f)
    header_row = next(reader)

    dates, highs, lows = [], [], []
    for row in reader:
        try:
            # 添加日期
            current_date = datetime.strptime(row[0], '%Y-%m-%d')
            # 添加最高温
            high = int(row[1])
            # 添加最低温
            low = int(row[3])
        except ValueError:
            print(current_date, 'missing data')
        else:
            dates.append(current_date)
            highs.append(high)
            lows.append(low)

# 数据展示
figures = plt.figure(dpi=128, figsize=(12, 6))
plt.plot(dates, highs, c='red', alpha=0.5)
plt.plot(dates, lows, c='blue', alpha=0.5)
plt.fill_between(dates, highs, lows, facecolor='yellow', alpha=0.1)
plt.title("Daily high and low temperatures - 2014", fontsize=24)
plt.xlabel('', fontsize=16)
figures.autofmt_xdate()
plt.ylabel("Temperature (F)", fontsize=16)
plt.tick_params(axis='both', which='major', labelsize=16)
plt.show()
